forked from Archives/langchain
19 lines
1.1 KiB
Markdown
19 lines
1.1 KiB
Markdown
# Chatbots
|
|
|
|
> [Conceptual Guide](https://docs.langchain.com/docs/use-cases/chatbots)
|
|
|
|
|
|
Since language models are good at producing text, that makes them ideal for creating chatbots.
|
|
Aside from the base prompts/LLMs, an important concept to know for Chatbots is `memory`.
|
|
Most chat based applications rely on remembering what happened in previous interactions, which `memory` is designed to help with.
|
|
|
|
The following resources exist:
|
|
- [ChatGPT Clone](../modules/agents/agent_executors/examples/chatgpt_clone.ipynb): A notebook walking through how to recreate a ChatGPT-like experience with LangChain.
|
|
- [Conversation Memory](../modules/memory/getting_started.ipynb): A notebook walking through how to use different types of conversational memory.
|
|
- [Conversation Agent](../modules/agents/agents/examples/conversational_agent.ipynb): A notebook walking through how to create an agent optimized for conversation.
|
|
|
|
|
|
Additional related resources include:
|
|
- [Memory Key Concepts](../modules/memory.rst): Explanation of key concepts related to memory.
|
|
- [Memory Examples](../modules/memory/how_to_guides.rst): A collection of how-to examples for working with memory.
|